Update dependency pandas to v3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	<3.0.0,>=2.0.3 → <3.0.2,>=3.0.1

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Release Notes

pandas-dev/pandas (pandas)

v3.0.1: pandas 3.0.1

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We are pleased to announce the release of pandas 3.0.1.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher.
The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v3.0.0: pandas 3.0.0

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We are pleased to announce the release of pandas 3.0.0, a major release from the pandas 2.x series. This release includes some new features, bug fixes, and performance improvements, as well as possible breaking changes.

The pandas 3.0 release removed a functionality that was deprecated in previous releases. It is recommended to first upgrade to pandas 2.3 and to ensure your code is working without warnings, before upgrading to pandas 3.0.

Highlights include:

• Dedicated string data type by default
• Consistent copy/view behaviour with Copy-on-Write (CoW) (a.k.a. getting rid of the SettingWithCopyWarning)
• New default resolution for datetime-like data
• Initial support for the new pd.col syntax

See the full whatsnew for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher.
The release can be installed from PyPI

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.3: Pandas 2.3.3

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We are pleased to announce the release of pandas 2.3.3.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.3 supports Python 3.9 and higher, and is the first release to support Python 3.14.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.2: Pandas 2.3.2

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We are pleased to announce the release of pandas 2.3.2.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.2 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.1: Pandas 2.3.1

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We are pleased to announce the release of pandas 2.3.1.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.1 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

v2.3.0: Pandas 2.3.0

Compare Source

We are pleased to announce the release of pandas 2.3.0.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.0 supports Python 3.10 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

---

Configuration

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♻ Rebasing: Whenever PR is behind base branch, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

---

• If you want to rebase/retry this PR, check this box

---

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[renovate]

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

• any of the package files in this branch needs updating, or
• the branch becomes conflicted, or
• you click the rebase/retry checkbox if found above, or
• you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: pdm.lock

Command failed: pdm update --no-sync --update-eager pandas
WARNING: Project requires a python version of <4.0,>=3.10, The virtualenv is being created for you as it cannot be matched to the right version.
INFO: python.use_venv is on, creating a virtualenv for this project...
Virtualenv is created successfully at /tmp/renovate/repos/github/reseau-constellation/client-python/.venv
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping pandas@3.0.1 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of pandas that supports Python~=3.10 will be used.
If you want to install pandas@3.0.1, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.4.2 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.4.2, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.4.1 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.4.1, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.3.5 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.3.5, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.3.4 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.3.4, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.3.3 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.3.3, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.3.2 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.3.2, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.3.1 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.3.1, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
/opt/containerbase/tools/pdm/2.26.6/3.14.3/lib/python3.14/site-packages/pdm/resolver/providers.py:195: PackageWarning: Skipping numpy@2.3.0 because it requires Python>=3.11 but the lock targets to work with Python~=3.10. Instead, another version of numpy that supports Python~=3.10 will be used.
If you want to install numpy@2.3.0, narrow down the `requires-python` range to include this version. For example, "~=3.11" should work.
  found = self.repository.find_candidates(
ERROR: Unable to find a resolution for numpy
because of the following conflicts:
  numpy>=1.26.0; python_version < "3.14" (from pandas@3.0.1)
  numpy>=1.26.4 (from project)
  numpy>=2.3.3; python_version >= "3.14" (from pandas@3.0.1)
To fix this, you could loosen the dependency version constraints in pyproject.toml. See https://pdm-project.org/en/latest/usage/lockfile/#solve-the-locking-failure for more details.
See /home/ubuntu/.local/state/pdm/log/pdm-lock-bmtyn55_.log for detailed debug log.
[ResolutionError]: Unable to find a resolution
WARNING: Add '-v' to see the detailed traceback